| Ushi vs Reina | 42–49 | 46.15% |
| Ushi vs Kazuya | 39–32 | 54.93% |
| Ushi vs Hwoarang | 17–26 | 39.53% |
| Ushi vs Steve | 23–20 | 53.49% |
| Ushi vs Jun | 24–16 | 60.00% |
| Ushi vs King | 9–27 | 25.00% |
| Ushi vs Jin | 15–21 | 41.67% |
| Ushi vs Dragunov | 18–13 | 58.06% |
| Ushi vs Lidia | 18–13 | 58.06% |
| Ushi vs Yoshimitsu | 9–19 | 32.14% |
| Ushi vs Lee | 14–14 | 50.00% |
| Ushi vs Law | 17–8 | 68.00% |
| Ushi vs Azucena | 9–15 | 37.50% |
| Ushi vs Eddy | 11–12 | 47.83% |
| Ushi vs Lili | 15–6 | 71.43% |
| Ushi vs Jack-8 | 7–13 | 35.00% |
| Ushi vs Asuka | 6–13 | 31.58% |
| Ushi vs Bryan | 9–9 | 50.00% |
| Ushi vs Feng | 4–14 | 22.22% |
| Ushi vs Alisa | 10–8 | 55.56% |
| Ushi vs Heihachi | 11–6 | 64.71% |
| Ushi vs Devil Jin | 5–11 | 31.25% |
| Ushi vs Claudio | 8–6 | 57.14% |
| Ushi vs Nina | 6–8 | 42.86% |
| Ushi vs Kuma | 9–4 | 69.23% |
| Ushi vs Victor | 8–5 | 61.54% |
| Ushi vs Paul | 7–5 | 58.33% |
| Ushi vs Leroy | 7–5 | 58.33% |
| Ushi vs Lars | 4–7 | 36.36% |
| Ushi vs Shaheen | 9–2 | 81.82% |
| Ushi vs Raven | 6–3 | 66.67% |
| Ushi vs Leo | 4–3 | 57.14% |
| Ushi vs Panda | 3–3 | 50.00% |
| Ushi vs Xiaoyu | 1–4 | 20.00% |
| Ushi vs Anna | 4–1 | 80.00% |
| Ushi vs Zafina | 2–2 | 50.00% |
| Ushi vs Clive | 2–0 | 100.00% |
| Ushi vs Miary Zo | 1–0 | 100.00% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.